Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Bilateral Multi-Perspective Matching for Natural Language Sentences
This map shows the geographic impact of Radu Florian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Radu Florian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Florian more than expected).
This network shows the impact of papers produced by Radu Florian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Radu Florian. The network helps show where Radu Florian may publish in the future.
Co-authorship network of co-authors of Radu Florian
This figure shows the co-authorship network connecting the top 25 collaborators of Radu Florian.
A scholar is included among the top collaborators of Radu Florian based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Radu Florian. Radu Florian is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sil, Avirup, Georgiana Dinu, Gourab Kundu, & Radu Florian. (2017). The IBM Systems for Entity Discovery and Linking at TAC 2017.. Theory and applications of categories.1 indexed citations
8.
Sil, Avirup, Georgiana Dinu, & Radu Florian. (2015). The IBM Systems for Trilingual Entity Discovery and Linking at TAC 2015.. Theory and applications of categories.10 indexed citations
9.
Ji, Heng, Joel Nothman, Ben Hachey, & Radu Florian. (2015). Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.. Theory and applications of categories.55 indexed citations
10.
Luo, Xiaoqiang, Hema Raghavan, Vittorio Castelli, Sameer Maskey, & Radu Florian. (2013). Finding What Matters in Questions. North American Chapter of the Association for Computational Linguistics. 878–887.4 indexed citations
11.
Florian, Radu & Jacob Eisenstein. (2012). Tutorial Abstracts at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. North American Chapter of the Association for Computational Linguistics.1 indexed citations
12.
Castelli, Vittorio, et al.. (2010). Slot Filling through Statistical Processing and Inference Rules.. Theory and applications of categories.6 indexed citations
13.
Florian, Radu, John F. Pitrelli, Salim Roukos, & Imed Zitouni. (2010). Improving Mention Detection Robustness to Noisy Input. Empirical Methods in Natural Language Processing. 335–345.20 indexed citations
14.
Kate, Rohit J., Xiaoqiang Luo, Siddharth Patwardhan, et al.. (2010). Learning to Predict Readability using Diverse Linguistic Features. International Conference on Computational Linguistics. 546–554.58 indexed citations
15.
Bikel, Daniel M., et al.. (2009). Entity Linking and Slot Filling through Statistical Processing and Inference Rules.. Theory and applications of categories.9 indexed citations
16.
Florian, Radu. (2007). ICSC 2007 International Conference on Semantic Computing.2 indexed citations
17.
Yarowsky, David, et al.. (2001). The John Hopkins SENSEVAL-2 System Descriptions. Meeting of the Association for Computational Linguistics. 163–166.1 indexed citations
Yarowsky, David & Radu Florian. (1999). Taking the load off the conference chairs-towards a digital paper-routing assistant. Empirical Methods in Natural Language Processing.30 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.